Gate Products

Gate ETF, or leveraged tokens, are crypto financial instruments that “tokenize” leveraged trading. They allow users to gain amplified price exposure through spot trading without needing margin or a futures account. As the crypto derivatives market evolves, these products are increasingly used to improve capital efficiency and simplify risk management in trending markets.

Over the past week, global markets entered a risk-off phase, driven by hawkish Fed expectations and escalating geopolitical tensions. Climbing US Treasury yields weighed on risk asset valuations. Gold and silver, after strong rallies, each saw corrections of more than 10%. The crypto market weakened in parallel, with BTC dropping below $70,000. Meanwhile, crude oil held firm amid expectations of potential supply shocks, and energy factors continued to disrupt the inflation outlook. On the capital front, both BTC and ETH ETFs recorded net outflows, reflecting a slowdown in short-term capital inflows. Nevertheless, total AUM remained at elevated levels, as long-term allocation capital has not exited the market. On-chain, DEX liquidity became increasingly concentrated in leading and highly efficient protocols, with Meteora’s rapid ascent reshaping trading dynamics. Marginal growth in stablecoin supply stemmed from protocol-based assets, and DeFi credit demand shifted primarily back to stablecoin arbitrage and

Gate TradFi commodity trading is a derivative-based system that allows users to speculate on the price of global commodities using crypto-collateralized contracts for difference (CFDs). With the development of multi-asset trading platforms, it has become widely applied in bridging traditional financial markets and blockchain-based infrastructure.

Gate Skills Hub is a crypto skill management platform within the Gate AI ecosystem. It organizes capabilities such as trading operations, on-chain interactions, data analysis, and automated scheduling into distinct skill types, forming a structured and modular system.

Gate Skills Hub is a skill invocation and execution platform within the Gate AI ecosystem. It connects AI Agents with on-chain data, trading capabilities, and automated task systems. Through modular skill architecture, it packages different functions into callable capabilities, enabling AI Agents to execute complex Web3 tasks and build automated workflows.

Gate Skills Hub is a crypto skill management and distribution platform within the Gate AI ecosystem. It connects AI agents with blockchain data, trading capabilities, and automated strategies, enabling them to execute complex Web3 tasks and operate autonomously. Through standardized skill interfaces and modular design, Gate Skills Hub allows AI agents to invoke different types of on-chain and market capabilities, making it possible to build more scalable intelligent systems.

Gate Research: This paper focuses on the practical need for trade review in the crypto market. Based on the OpenClaw framework and Gate MCP capabilities, it develops an AI investment advisory system that automates the entire process from data ingestion and metric analysis to report generation. By introducing an agent-based architecture and modular tool invocation, the system enables AI not only to understand trading data but also to perform analysis and support decision-making, producing review reports that are both interpretable and actionable. Overall, this approach validates the potential of the “LLM + MCP + Agent” paradigm in financial scenarios, offering a feasible path for the engineering implementation of AI-driven investment assistance and laying the foundation for future evolution toward more intelligent and quantitatively driven decision systems.

Gate Card is a crypto-linked payment card that allows users to spend digital assets in real-world transactions, while traditional Visa debit cards are fiat-based payment tools connected to bank accounts. With the growth of digital assets and Web3 infrastructure, both payment models now coexist across different financial environments. Their differences in settlement logic, asset behavior, and reward structures highlight how payment systems are evolving beyond conventional banking.

Gate Research: Large language models and AI agent technologies are pushing trading systems into a new stage of development. Quantitative trading, which previously relied heavily on programming skills and complex engineering systems, is gradually evolving into product forms with much lower barriers to entry. Gate has introduced products such as AI Quant Workspace and Gate for AI, which aim to integrate strategy generation, backtesting, and automated execution within a single platform through natural language interaction, no-code quant tools, and unified trading interfaces, allowing more users to participate in strategy trading. As AI technology continues to mature, trading platforms are also evolving from traditional matching tools into AI-driven trading infrastructure.

Gate Card is a crypto payment card introduced by Gate, designed to function as a crypto credit card that allows users to spend digital assets in real-world scenarios. When a user makes a payment, the system automatically converts crypto assets in the account into fiat currency, enabling transactions through the Visa network across global merchants and ATMs. The core function of Gate Card lies in bridging digital assets and traditional payment systems. Instead of manually converting crypto into fiat before spending, users can directly use their crypto balances for everyday payments, cross-border transactions, and cash withdrawals. This integration reduces friction between Web3 assets and real-world financial infrastructure, making crypto more accessible for daily use.

Over the past week, global markets have been primarily driven by energy shocks and geopolitical risks. WTI crude rose more than 4%, with higher oil prices reinforcing inflation expectations and further constraining the scope for rate cuts. The Dollar Index moved back above 100, while Treasury yields climbed in tandem. Risk assets broadly came under pressure, yet the crypto market showed notable resilience. Consecutive net inflows into BTC ETFs indicate continued institutional accumulation during the pullback. On-chain, stablecoin supply continued to expand, with liquidity increasingly concentrated in leading protocols. Lending and LST sectors also rebounded, reflecting a marginal recovery in risk appetite. In derivatives markets, funding rates remained largely negative while implied volatility declined, suggesting market sentiment is gradually recovering from extreme caution. Looking ahead, markets will focus on the upcoming Fed rate decision and policy signals from major central banks, which will directly sh

A crypto card is a payment card that enables users to spend cryptocurrency by converting it into fiat currency at the point of transaction. As digital assets become more integrated into financial systems, crypto cards serve as a practical bridge between blockchain-based value and traditional payment infrastructure. They simplify real-world usage of cryptocurrencies while maintaining compatibility with global payment networks. Understanding their structure and limitations helps explain their role in modern financial ecosystems.

GateClaw and OpenClaw represent two types of technical environments designed for deploying and running Web3 AI agents. GateClaw is designed as a visual AI agent workstation that connects AI models, tool interfaces, and Web3 networks, allowing agents to execute automated tasks within a unified system. OpenClaw typically appears as an open source AI agent framework, where developers build and run agents through code and extend functional modules according to specific needs.

GateClaw is an AI agent workstation designed for the Web3 ecosystem. By integrating AI models, modular Skills, and crypto trading infrastructure, it allows intelligent agents to perform data analysis, automated trading, and on-chain monitoring within a unified environment. Unlike traditional AI tools that mainly focus on information processing, GateClaw emphasizes the execution capabilities of AI agents, enabling them to run automated processes in real market environments.

GateClaw is an AI Agent workstation within the Gate for AI ecosystem designed to connect AI models, Gate MCP interfaces, and AI Skills modules. This infrastructure enables AI Agents to perform tasks such as market analysis, automated trading, and on chain data monitoring within the Web3 environment.